Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 190,27
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 190,63
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 193,19
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 193,19
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Editore: Engineering Science Reference, 2022
ISBN 10: 1799883515 ISBN 13: 9781799883517
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 210,78
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Editore: Springer Verlag, Singapore, 2020
ISBN 10: 9811510407 ISBN 13: 9789811510403
Lingua: Inglese
Da: ECOSPHERE, Champs sur marne, Francia
Prima edizione
EUR 179,00
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Aggiungi al carrelloCouverture rigide. Condizione: Neuf. Edition originale.
Editore: Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811510431 ISBN 13: 9789811510434
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 194,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning.
Editore: Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811510407 ISBN 13: 9789811510403
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 196,27
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning.
Da: California Books, Miami, FL, U.S.A.
EUR 234,71
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Da: California Books, Miami, FL, U.S.A.
EUR 234,71
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EUR 278,20
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Aggiungi al carrelloPaperback. Condizione: Brand New. 208 pages. 9.25x6.10x0.67 inches. In Stock.
Editore: Engineering Science Reference, 2022
ISBN 10: 1799883507 ISBN 13: 9781799883500
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 276,07
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Da: Revaluation Books, Exeter, Regno Unito
EUR 280,18
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Aggiungi al carrelloHardcover. Condizione: Brand New. 208 pages. 9.25x6.10x0.67 inches. In Stock.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 268,02
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Aggiungi al carrelloPaperback. Condizione: New. New. book.
Editore: Engineering Science Reference, 2022
ISBN 10: 1799883515 ISBN 13: 9781799883517
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 303,60
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Aggiungi al carrelloPaperback. Condizione: Brand New. 296 pages. 10.00x7.00x0.50 inches. In Stock.
Editore: Engineering Science Reference, 2022
ISBN 10: 1799883507 ISBN 13: 9781799883500
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 400,35
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Aggiungi al carrelloHardcover. Condizione: Brand New. 296 pages. 11.00x8.50x10.00 inches. In Stock.
Editore: Engineering Science Reference, 2022
ISBN 10: 1799883507 ISBN 13: 9781799883500
Lingua: Inglese
Da: dsmbooks, Liverpool, Regno Unito
EUR 484,62
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Aggiungi al carrellohardcover. Condizione: New. New. book.
Da: moluna, Greven, Germania
EUR 154,97
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses machine learning applicationsIncludes a wide variety of problems using learning algorithms along with applicationsComprises chapters from experts in the field Dr. Jyotsna Kumar Mandal is a Pro.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 211,58
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: moluna, Greven, Germania
EUR 162,51
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses machine learning applicationsIncludes a wide variety of problems using learning algorithms along with applicationsComprises chapters from experts in the field Dr. Jyotsna Kumar Mandal is a Pro.
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 212,27
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Springer Nature Singapore Jan 2021, 2021
ISBN 10: 9811510431 ISBN 13: 9789811510434
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 192,59
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning. 208 pp. Englisch.
Editore: Springer Nature Singapore Jan 2020, 2020
ISBN 10: 9811510407 ISBN 13: 9789811510403
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 192,59
Convertire valutaQuantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning. 208 pp. Englisch.
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 277,16
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: moluna, Greven, Germania
EUR 225,47
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. The presents research of energy efficient accelerators for machine learning .
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 277,88
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Engineering Science Reference, 2022
ISBN 10: 1799883507 ISBN 13: 9781799883500
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 294,20
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Serves as reference for professionals who would like to advance their research of energy efficient accelerators for machine learning algorithms like data mining, and to switch from the existing control-flow paradigm to energy efficient dataflow paradigm.
Editore: Engineering Science Reference, 2022
ISBN 10: 1799883515 ISBN 13: 9781799883517
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 313,72
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.
Editore: Engineering Science Reference, 2022
ISBN 10: 1799883507 ISBN 13: 9781799883500
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 410,87
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Based on current literature and cutting-edge advances in the machine learning field, there are four algorithms whose usage in new application domains must be explored: neural networks, rule induction algorithms, tree-based algorithms, and density-based algorithms. A number of machine learning related algorithms have been derived from these four algorithms. Consequently, they represent excellent underlying methods for extracting hidden knowledge from unstructured data, as essential data mining tasks. Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms presents widely used data-mining algorithms and explains their advantages and disadvantages, their mathematical treatment, applications, energy efficient implementations, and more. It presents research of energy efficient accelerators for machine learning algorithms. Covering topics such as control-flow implementation, approximate computing, and decision tree algorithms, this book is an essential resource for computer scientists, engineers, students and educators of higher education, researchers, and academicians.